这个类线程安全吗?使用基于图的学习推断文档

Andrew Habib, Michael Pradel
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引用次数: 7

摘要

线程安全类在并发的、面向对象的软件中非常普遍。然而,许多类缺乏关于它们在多线程使用下的安全保证的文档。由于缺乏文档,在并发程序中使用类的开发人员要么仔细检查类的实现,要么保守地同步对它的所有访问,要么乐观地假设类是线程安全的。为了克服缺乏文档的问题,我们提出了TSFinder,这是一种自动将类分类为线程安全或线程不安全的方法。关键思想是将从类中提取图表示的轻量级静态分析与基于图的分类器结合起来。在使用已知的线程安全和线程不安全的类训练分类器之后,它对以前未见过的类的准确率达到94.5%,从而使该方法能够高可信度地推断线程安全文档。分类器每个类大约需要3秒,也就是说,它的效率足以推断许多类的文档。
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Is This Class Thread-Safe? Inferring Documentation using Graph-Based Learning
Thread-safe classes are pervasive in concurrent, object-oriented software. However, many classes lack documentation regarding their safety guarantees under multi-threaded usage. This lack of documentation forces developers who use a class in a concurrent program to either carefully inspect the implementation of the class, to conservatively synchronize all accesses to it, or to optimistically assume that the class is thread-safe. To overcome the lack of documentation, we present TSFinder, an approach to automatically classify classes as supposedly thread-safe or thread-unsafe. The key idea is to combine a lightweight static analysis that extracts a graph representation from classes with a graph-based classifier. After training the classifier with classes known to be thread-safe and thread-unsafe, it achieves an accuracy of 94.5% on previously unseen classes, enabling the approach to infer thread safety documentation with high confidence. The classifier takes about 3 seconds per class, i.e., it is efficient enough to infer documentation for many classes.
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